Marketing Technology Specialist

UNITED METHODIST PUBLISHING HOUSE•Nashville, TN
•$78,852 - $98,564•Remote

About The Position

The Marketing Technology Specialist owns the day-to-day mechanics of the customer data platform and marketing technology stack within IT. The primary focus is Salesforce Data Cloud, including data model management, identity resolution execution, segmentation, calculated insights, and data quality. The secondary focus is technical administration of Salesforce Marketing Cloud. The role bridges IT and marketing, translating business needs into platform configuration and maintaining clean data flows from source systems through campaign activation. This position is part of a two-person IT support model for the customer data and marketing technology ecosystem. The Retail Systems Manager handles CRM administration, user provisioning and permissions across Salesforce, monitoring data delivery from enterprise systems into Salesforce, and day-to-day user support. The Marketing Technology Specialist manages Data Cloud, integrations within and across Salesforce platforms, preparation of data for Marketing Cloud and business use, and technical partnership with marketing and business stakeholders. Architecture-level decisions—including cross-brand identity architecture, enterprise sources of truth, and Salesforce ecosystem strategy—are set by IT leadership and consulting partners; this role executes and maintains that architecture, monitors its health, and flags improvement opportunities. The role also administers Marketing Cloud technical infrastructure and the Tableau server/cloud environment; implements data quality governance; coordinates technical requests, integrations, and vendor work; documents customer data flows and platform configurations; and trains and supports business users. It works closely with marketing, e-commerce, content, executive stakeholders, IT development staff, vendors, and the Retail Systems Manager. This is a fully remote position. Occasional off-hours work may be required during platform releases, critical integration failures, or time-sensitive data issues. Minimal travel, less than 10%, may be required.

Requirements

  • Bachelor’s degree in Information Technology, Computer Science, Information Systems, or a related field, or an equivalent combination of education and experience.
  • At least 3 years of hands-on experience with Salesforce Marketing Cloud, Salesforce Data Cloud, or a comparable customer data platform.
  • At least 1 year of experience in a multi-product environment involving CRM plus one or more of Marketing Cloud, Data Cloud, Commerce Cloud, Tableau, or comparable platforms.
  • Demonstrated experience with customer data platforms, unified customer data environments, or data management at scale (100K+ records), through prior hands-on work or certification plus documented hands-on lab experience.
  • Experience collaborating with marketing or business teams on data-driven initiatives and translating business needs into platform configuration.
  • Salesforce Certified Administrator, to be earned within 12 months of hire if not already held.
  • Salesforce Certified Data Cloud Consultant, to be earned within 18 months of hire if not already held, or demonstrated equivalent experience through documented Data Cloud implementation work.
  • Salesforce Certified Marketing Cloud Administrator, Marketing Cloud Developer, or Marketing Cloud Email Specialist, to be earned within 18 months of hire if not already held.
  • Knowledge of customer data platform mechanics, including data model configuration, identity resolution execution, audience segmentation, and calculated insights.
  • Knowledge of marketing technology administration, including data extensions, automations, API connections, and Journey Builder technical configuration.
  • Working knowledge of CRM data models, data flows, and configuration sufficient to identify downstream effects and flag them to the Retail Systems Manager.
  • Knowledge of analytics platform administration, including server/cloud administration, data source management, and basic dashboard development.
  • Knowledge of data governance execution, including deduplication tooling, data quality monitoring and automation, consent management, and governance standards across multiple platforms.
  • Familiarity with integration technologies such as REST/SOAP APIs, SFTP, and S3/cloud storage connectors sufficient to evaluate, scope, coordinate, and troubleshoot integration work.
  • Ability to translate technical concepts for non-technical stakeholders and business needs for technical teams.
  • Proactive problem-solving, system-health monitoring, and ability to identify issues before they become business-impacting.
  • Data-first thinking and understanding of the customer data lifecycle across collection, commerce, fulfillment, and marketing activation.
  • Collaborative ownership, clear communication, documentation, status reporting, and audience-appropriate recommendations.
  • Ability and willingness to stay current with evolving platforms and responsibly engage with AI tools as part of professional responsibilities.
  • Occasional off-hours work may be required during platform release windows, critical integration failures, or time-sensitive data issues.
  • Minimal travel, less than 10%, may be required.

Nice To Haves

  • Existing Salesforce certifications at hire, particularly Data Cloud Consultant, Marketing Cloud Administrator, or Marketing Cloud Consultant.
  • Experience with unified customer identity or single sign-on implementations across multiple web properties.
  • Experience with AI-driven platform features, predictive analytics, or marketing automation AI capabilities.
  • Experience in publishing, media, religious/nonprofit, or subscription-based business environments.
  • Familiarity with e-commerce platforms, particularly NOP Commerce or similar .NET-based commerce systems.
  • Experience with ERP integrations or enterprise financial systems.
  • Tableau Desktop Specialist or Tableau Certified Data Analyst certification.

Responsibilities

  • Own configuration and ongoing management of the Salesforce Data Cloud data model, including data streams, data lake objects, data model objects, and calculated insights.
  • Support, audit, and teach marketing power users working in Data Cloud, promoting technical consistency across the environment.
  • Execute and tune identity resolution rulesets for a 600K+ contact database across brands within the architecture set by IT leadership and consulting partners.
  • Support the technical configuration of real-time and batch audience segments in collaboration with marketing; recommend segmentation opportunities based on data patterns.
  • Monitor Data Cloud health, including identity resolution accuracy, segment populations, calculated insight performance, and downstream data quality.
  • Maintain integrations within and across Salesforce platforms and ensure data leaving Data Cloud for Marketing Cloud is complete, accurate, and structured for campaigns.
  • Consult on business data collection plans, including tagging matrices, audience expansion, and identification of new data points.
  • Implement and enforce data quality governance across CRM, Data Cloud, Marketing Cloud, and customer-facing platforms using tooling and automation.
  • Build and monitor automated data quality processes, manage exception workflows, and coordinate exception resolution between IT and business stakeholders.
  • Evaluate and recommend third-party data quality, data collection, and data flow tools and plug-ins; advise on selection, configuration, and fit.
  • Oversee CRM data flows to ensure consistency with governance standards and prevent unintended downstream effects.
  • Administer Marketing Cloud technical infrastructure, including data extensions, automation schedules, API/SFTP connections, send classification, and deliverability monitoring.
  • Coordinate Salesforce release management with the Retail Systems Manager by reviewing release notes, coordinating testing, and communicating changes.
  • Manage Data Cloud and Marketing Cloud sandbox environments and configuration change management processes.
  • Serve as the primary IT intake point for technical requests related to customer data and marketing technology; evaluate feasibility, scope solutions, and coordinate implementation with IT development staff or vendors.
  • Own the evaluation-to-verification lifecycle for new data points, connectors, and integrations, including technical approach, implementation coordination, validation, documentation, and monitoring.
  • Maintain and update customer data lifecycle documentation from collection through commerce, fulfillment, and marketing systems; identify gaps and opportunities to improve data completeness and flow.
  • Partner with marketing, e-commerce, content, and executive stakeholders; participate in marketing meetings and planning to align platform work with business direction.
  • Translate business requirements into technical specifications and assess whether needs are best met through configuration, third-party tools, or custom development.
  • Maintain documentation for Data Cloud processes, data flows, Marketing Cloud configurations, integration architecture, and governance standards.
  • Train and support business users, enabling self-service where appropriate, particularly in Tableau reporting, Marketing Cloud segmentation, and Data Cloud calculated insights.
  • Provide routine updates on platform health, data quality trends, and open requests.
  • Stay current on Salesforce product developments, customer data platform and marketing technology trends, and publishing industry technology; flag relevant capabilities to IT leadership and the AI & IT Strategy Group.
  • Administer Tableau server/cloud, including data source governance, user provisioning, security, and performance optimization.
  • Provide technical details, effort estimates, and configuration options for platform-related business cases when requested.
  • Use AI tools thoughtfully and responsibly, critically evaluate AI-generated content and recommendations, continue learning about emerging AI, and follow ethical, transparent, and secure AI practices.
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